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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 16 of 16  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
LOIS, IPSJ-SPT, IPSJ-GN 2021-05-10
15:05
Online Online Branch Analysis of the Random Forest for Recognition of Car Motion Sickness from Eyesight Features
Shohta Okuyama, Jun Toyotani, Yuto Omae (NU) LOIS2021-5
Some people who get motion sickness only when they are riding without driving. One of the causes of motion sickness in t... [more] LOIS2021-5
pp.25-30
AI 2021-02-12
09:05
Online Online Effectiveness of Strategy of Cancelling Stay-at-home Orders on the Number of COVID-19 Infectors and Outgoing People -- Strategies Verification based on Multi-agent simulation --
Yuto Omae (NU), Yohei Kakimoto (HU), Jun Toyotani, Kazuyuki Hara, Yasuhiro Gon (NU), Hirotaka Takahashi (TCU) AI2020-22
(To be available after the conference date) [more] AI2020-22
pp.1-6
IA, IN
(Joint)
2020-12-15
10:25
Online Online Agent-based Infection Spreading Simulation for Verifying Effectiveness of the COVID-19 Contact-Confirming Application Incorporating Secondary Indirect Contact Notification Function
Yuto Omae, Jun Toyotani, Kazuyuki Hara, Yasuhiro Gon (NU), Hirotaka Takahashi (TCU) IN2020-39
 [more] IN2020-39
pp.37-42
LOIS, EMM, IE, IEE-CMN, ITE-ME, IPSJ-AVM [detail] 2020-09-02
09:30
Online Online Verification of the Effect of the COVID-19 Contact-Confirming Application on Decreasing the Number of Infected Persons Based on a Multi Agent Simulation
Yuto Omae, Jun Toyotani, Kazuyuki Hara, Yasuhiro Gon (NU), Hirotaka Takahashi (TCU) LOIS2020-9 IE2020-21 EMM2020-33
(To be available after the conference date) [more] LOIS2020-9 IE2020-21 EMM2020-33
pp.25-30
NC, MBE
(Joint)
2020-03-05
09:55
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
A Basic Study of Noise Reduction on the Analysis of Burst Gravitational Waves using a Direct and Parallel Denoising Autoencoder based on L2 Regularization
Hiroyuki Hayashi (NIT, TC), Kazuki Sakai (NIT, NC), Hirotaka Takahashi (NUT), Hiroyuki Hamazumi (NIT, TC), Yuto Omae (NU) NC2019-91
 [more] NC2019-91
pp.89-94
SWIM 2020-02-21
13:35
Tokyo Kikai-Shinko-Kaikan Bldg. Human Factors Analysis between Cashless Payment and Its Interest
Yu Hayashida, Jun Toyotani, Yuto Omae (Nihon Univ.) SWIM2019-27
 [more] SWIM2019-27
pp.17-21
SWIM 2020-02-21
15:00
Tokyo Kikai-Shinko-Kaikan Bldg. Development of the Visitors Simulator of Amusement Parks based on Neural Network
Yuki Nozawa, Jun Toyotani, Yuto Omae (Nihon Univ.) SWIM2019-28
 [more] SWIM2019-28
pp.23-29
SWIM 2020-02-21
15:25
Tokyo Kikai-Shinko-Kaikan Bldg. Relationship Analysis between Risk Preference and Decision Making of Individual Investor based on Neural Network
Saki Ietomi, Yuki Nozawa, Yuto Omae (Nihon Univ.) SWIM2019-29
 [more] SWIM2019-29
pp.31-34
SWIM 2020-02-21
15:50
Tokyo Kikai-Shinko-Kaikan Bldg. Humans Impression Analysis to Product Price and Sales Word based on Neural Network
Chihiro Nishiyama, Yuki Nozawa, Jun Toyotani, Yuto Omae (Nihon Univ.) SWIM2019-30
 [more] SWIM2019-30
pp.35-38
NC, MBE
(Joint)
2019-03-04
13:50
Tokyo University of Electro Communications A Basic Study of Noise Reduction on the Analysis of Burst Gravitational Waves by the Direct and Parallel Denoising Autoencoder
Hiroyuki Hayashi, Kazuki Sakai (NIT), Hirotaka Takahashi (NUT), Yuto Omae (NIT) NC2018-55
 [more] NC2018-55
pp.67-71
HCS, HIP, HI-SIGCE [detail] 2018-05-22
09:55
Okinawa Okinawa Industry Support Center A Method to Develop Optimal Collaborative Learning based on Machine Learning and Mathematical Optimization
Yuto Omae (NITTC), Tatsuro Furuya (YMTES), Kazutaka Mizukoshi (DA), Takayuki Oshima, Sakakibara Norihisa (HUTE), Yoshiaki Mizuochi (JUE), Kazuhiro Yatsushiro (YPU), Hirotaka Takahashi (NUT) HCS2018-14 HIP2018-14
(To be available after the conference date) [more] HCS2018-14 HIP2018-14
pp.107-112
PRMU 2017-10-13
11:10
Kumamoto   Deep Learning Based-Estimation Method for Starting Time of Each Stroke by Using IMU
Yuto Omae (NIT,Tokyo College), Masahiro Kobayashi, Kazuki Sakai, Akira Shionoya, Hirotaka Takahashi (NUT), Chikara Miyaji (Univ. of Tokyo), Yoshihisa Sakurai (Sports Sensing), Kazufumi Nakai, Nobuo Ezaki (NIT,Toba College), Takuma Akiduki (TUT) PRMU2017-90
(To be available after the conference date) [more] PRMU2017-90
pp.155-160
PRMU 2017-10-13
14:20
Kumamoto   Collaborative Learning Optimizer for Supporting Collaborative Learning Based on Intelligent Information Processing -- On Model Structure and Learner's Personality --
Yuto Omae (NIT,Tokyo College), Tatsuro Furuya (YMTES), Kazutaka Mizukoshi (Digital Alliance), Takayuki Oshima, Norihisa Sakakibara (Hyogo Univ. of Teacher Education), Yoshiaki Mizuochi (Joetsu Univ. of Education), Kazuhiro Yatsushiro (Yamanashi Pref. Univ.), Hirotaka Takahashi (Nagaoka Univ. of Tech.) PRMU2017-97
(To be available after the conference date) [more] PRMU2017-97
pp.193-198
PRMU, IBISML, IPSJ-CVIM [detail] 2017-09-15
09:30
Tokyo   On Evaluation Function for Feature Space Considered Robustness to Individual Difference of Human Activities
Masaya Mori (NITTC), Takuma Akiduki (TUT), Hirotaka Takahashi (NUT), Yuto Omae (NITTC) PRMU2017-39 IBISML2017-11
 [more] PRMU2017-39 IBISML2017-11
pp.1-6
ET 2014-01-11
12:05
Tokyo Mejiro University Estimation of Motivation for Learning Modification based on the ARCS Model toward Combination of Teaching Strategies and Personal Characteristics
Yuto Omae, Katsuko T. Nakahira, Hirotaka Takahashi (Nagaoka Univ. of Tech.), Rai Shukuin, Yoko Tsuchiya, Takako Mitsui (Yamanashi Eiwa Senior High School), Yoshimi Fukumura (Nagaoka Univ. of Tech.) ET2013-76
Motivation for learning modification is defined by the complex of teaching strategies and personal characteristics of th... [more] ET2013-76
pp.49-54
ET 2013-10-19
14:20
Toyama Toyama University (Gofuku Campus) Simulating modification of motivation for learning based on the ARCS model: applying class design
Yuto Omae, Katsuko T. Nakahira, Yoshimi Fukumura (Nagaoka Univ. of Tech.) ET2013-54
There are many suggestions of decreased motivation for learning in classes. To improve these suggestions, the
class s... [more]
ET2013-54
pp.19-24
 Results 1 - 16 of 16  /   
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